Products
The NeuroMosaic Processor (NMP) family is shattering the barriers to deploying ML by delivering a general-purpose architecture and simple programmer’s model to enable virtually any class of neural network architecture and use case.
Our unique differentiation starts with the ability to simultaneously execute multiple AI/ML models significantly expanding the realm of capability over existing approaches. This game-changing advantage is provided by the co-developed NeuroMosAIc Studio software’s ability to dynamically allocate HW resources to match the target workload resulting in highly optimized, low-power execution.
The designer may also select the optional on-device training acceleration extension enabling iterative learning post-deployment. This key capability cuts the cord to cloud dependence while elevating the accuracy, efficiency, customization, and personalization without reliance on costly model retraining and deployment, thereby extending device lifecycles.
The NeuroMosAIc Processor Family
Openly licensable silicon IP
portable to any process technology
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Markets
· Automotive
· AIoT/Sensors
· Industry 4.0
· Smart Appliances
· Wearables -
Applications
· Driver Authentication, Digital Mirrors, and Personalization
· Predictive Maintenance
· Machine Automation
· Health Monitoring -
Applications Example
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Block-Diagram
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Applications
Performance Up to 512 GOPs MACs (8x8) 64, 128, 256 Data Types 1-bit, INT8, INT16 Internal SRAM Up to 512 KB Frameworks
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Markets
· Automotive
· Mobile and AR/VR
· Drones and Robotics
· Security and Surveillance
· Medical Devices -
Applications
· Driver Monitoring and Fleet Management
· Image / Video Analytics and Super Resolution
· Intruder, Safety, and Compliance -
Applications Example
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Block-Diagram
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Applications
Performance Up to 4 TOPs MACs (8x8) 64, 128, 256 Data Types 1-bit, INT8, INT16 Internal SRAM Up to 4 MB Frameworks
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Markets
· Automotive, AMR, and UAVs
· AR/VR
· Smart Building/Factory/City
· Security and Surveillance
· Telecommunications -
Applications
· Mobility and Autonomous Control
· Process, Building, and Factory
· Automation
· Multi-Camera Stream Processing
· Spectral Efficiency and Energy Mgmt -
Applications Example
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Block-Diagram
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Applications
Performance Up to 16 TOPs MACs (8x8) 4K, 8K Data Types 1-bit, INT8, INT16 Internal SRAM Up to 16 MB Frameworks

NeuroMosAIc Studio
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Converter
Quantization
(1bit / INT8/ INT16)
Network Compression Network Optimization
Network for NMP Version
Precision Analysis
Precision Adjustment -
Mapper
H/W level Optimization
C code generation -
Tools
NMP Compiler
NMP Simulator -
Runtime Libraries
Optimized A.I. functions
Edge training -
NMP Aware Training
Optimize at training stage
Optimized quantization
aware training